Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints

Zhiping Zuo, Yanhui Li, Jing Fu and Jianlin Wu
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Zhiping Zuo: School of Management, Wuhan College, Wuhan 430212, China
Yanhui Li: School of Management, Wuhan College, Wuhan 430212, China
Jing Fu: School of Business Administration, Wuhan Business University, Wuhan 430056, China
Jianlin Wu: School of Information Management, Central China Normal University, Wuhan 430079, China

Mathematics, 2019, vol. 7, issue 7, 1-18

Abstract: In situations where an organization has limited human resources and a lack of multi-skilled employees, organizations pay more and more attention to cost control and personnel arrangements. Based on the consideration of the service personnel scheduling as well as the routing arrangement, service personnel of different skills were divided into different types according to their multiple skills. A mathematical programming model was developed to reduce the actual cost of organization. Then, a hybrid meta heuristic that combines a tabu search algorithm with a simulated annealing was designed to solve the problem. This meta heuristic employs several neighborhood search operators and integrates the advantages of both the tabu search algorithm and the simulated annealing algorithm. Finally, the stability and validity of the algorithm were validated by the tests of several kinds of examples.

Keywords: scheduling problem; human resource; multi-skill; hybrid meta heuristic (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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